Search Results - (( _ application ((new algorithm) OR (based algorithm)) ) OR ( based application means algorithm ))
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Data clustering using the bees algorithm
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Subsequently, the THF modelling scheme can be incorporated into an established real time NLFXLMS algorithm termed THF-NLFXLMS algorithm. The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
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Integrating genetic algorithms and fuzzy c-means for anomaly detection
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QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs)
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Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
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A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. …”
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Proceeding Paper -
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Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…Variants of the proposed kg-DFSA, traditional DFSA and another grouping based DFSA algorithm (FCM-DFSA) were implemented in MATLAB. …”
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Segmentation of MRI brain images using statistical approaches
Published 2011Get full text
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An efficient likelihood-based modulation classification algorithm for multiple-input multiple-output systems
Published 2016“…To overcome the problems associated with the existing likelihood-based MC algorithms, a new algorithm is developed in this paper. …”
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Tracking The Eyes Using Interdependence Mean Shift Tracking Algorithm With Appropriate Information Provided
Published 2016“…The human eye tracking algorithm is very important, especially in the facial analysis application. …”
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Clustering Spatial Data Using a Kernel-Based Algorithm
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Nonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity
Published 2012“…Simulation results show that the performance of the THF-based NLFXLMS algorithm is comparable with the SEF-based NLFXLMS.…”
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Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…For fingerprint database optimisation, novel access point (AP) selection algorithms which are based on variant AP selection are investigated to improve computational accuracy compared to existing AP selection algorithms such as Max-Mean and InfoGain. …”
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